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LangChain AI Local Deep Researcher is an autonomous, fully local web research assistant designed to conduct in-depth research on user-provided topics. It leverages local Large Language Models (LLMs) hosted by Ollama or LM Studio to iteratively generate search queries, summarize findings from web sources, and refine its understanding by identifying and addressing knowledge gaps. The final output is a comprehensive markdown report with citations to all sources.
LangChain AI Local Deep Researcher is an autonomous, fully local web research assistant designed to conduct in-depth research on user-provided topics. It leverages local Large Language Models (LLMs) hosted by Ollama or LM Studio to iteratively generate search queries, summarize findings from web sources, and refine its understanding by identifying and addressing knowledge gaps. The final output is a comprehensive markdown report with citations to all sources.
LangChain AI Local Deep Researcher is an autonomous, fully local web research assistant designed to conduct in-depth research on user-provided topics. It leverages local Large Language Models (LLMs) hosted by Ollama or LM Studio to iteratively generate search queries, summarize findings from web sources, and refine its understanding by identifying and addressing knowledge gaps. The final output is a comprehensive markdown report with citations to all sources.
Build by NVIDIA is a developer-focused platform showcasing blueprints and microservices for building AI-powered applications using NVIDIA’s NIM (NeMo Inference Microservices) ecosystem. It offers plug-and-play workflows like enterprise research agents, RAG pipelines, video summarization assistants, and AI-powered virtual assistants—all optimized for scalability, latency, and multimodal capabilities.
Build by NVIDIA is a developer-focused platform showcasing blueprints and microservices for building AI-powered applications using NVIDIA’s NIM (NeMo Inference Microservices) ecosystem. It offers plug-and-play workflows like enterprise research agents, RAG pipelines, video summarization assistants, and AI-powered virtual assistants—all optimized for scalability, latency, and multimodal capabilities.
Build by NVIDIA is a developer-focused platform showcasing blueprints and microservices for building AI-powered applications using NVIDIA’s NIM (NeMo Inference Microservices) ecosystem. It offers plug-and-play workflows like enterprise research agents, RAG pipelines, video summarization assistants, and AI-powered virtual assistants—all optimized for scalability, latency, and multimodal capabilities.
UsageGuard is an AI infrastructure platform designed to help businesses build, deploy, and monitor AI applications with confidence. It acts as a proxy service for Large Language Model (LLM) API calls, providing a unified endpoint that offers a suite of enterprise-grade features. Its core mission is to empower developers and enterprises with robust solutions for AI security, cost control, usage tracking, and comprehensive observability.
UsageGuard is an AI infrastructure platform designed to help businesses build, deploy, and monitor AI applications with confidence. It acts as a proxy service for Large Language Model (LLM) API calls, providing a unified endpoint that offers a suite of enterprise-grade features. Its core mission is to empower developers and enterprises with robust solutions for AI security, cost control, usage tracking, and comprehensive observability.
UsageGuard is an AI infrastructure platform designed to help businesses build, deploy, and monitor AI applications with confidence. It acts as a proxy service for Large Language Model (LLM) API calls, providing a unified endpoint that offers a suite of enterprise-grade features. Its core mission is to empower developers and enterprises with robust solutions for AI security, cost control, usage tracking, and comprehensive observability.
Groq AppGen is an innovative, web-based tool that uses AI to generate and modify web applications in real-time. Powered by Groq's LLM API and the Llama 3.3 70B model, it allows users to create full-stack applications and components using simple, natural language queries. The platform's primary purpose is to dramatically accelerate the development process by generating code in milliseconds, providing an open-source solution for both developers and "no-code" users.
Groq AppGen is an innovative, web-based tool that uses AI to generate and modify web applications in real-time. Powered by Groq's LLM API and the Llama 3.3 70B model, it allows users to create full-stack applications and components using simple, natural language queries. The platform's primary purpose is to dramatically accelerate the development process by generating code in milliseconds, providing an open-source solution for both developers and "no-code" users.
Groq AppGen is an innovative, web-based tool that uses AI to generate and modify web applications in real-time. Powered by Groq's LLM API and the Llama 3.3 70B model, it allows users to create full-stack applications and components using simple, natural language queries. The platform's primary purpose is to dramatically accelerate the development process by generating code in milliseconds, providing an open-source solution for both developers and "no-code" users.
FinetuneFast.com is a platform designed to drastically reduce the time and complexity of launching AI models, enabling users to fine-tune and deploy machine learning models from weeks to just days. It provides a comprehensive ML boilerplate and a suite of tools for various AI applications, including text-to-image and Large Language Models (LLMs). The platform aims to accelerate the development, production, and monetization of AI applications by offering pre-configured training scripts, efficient data loading, optimized infrastructure, and one-click deployment solutions.
FinetuneFast.com is a platform designed to drastically reduce the time and complexity of launching AI models, enabling users to fine-tune and deploy machine learning models from weeks to just days. It provides a comprehensive ML boilerplate and a suite of tools for various AI applications, including text-to-image and Large Language Models (LLMs). The platform aims to accelerate the development, production, and monetization of AI applications by offering pre-configured training scripts, efficient data loading, optimized infrastructure, and one-click deployment solutions.
FinetuneFast.com is a platform designed to drastically reduce the time and complexity of launching AI models, enabling users to fine-tune and deploy machine learning models from weeks to just days. It provides a comprehensive ML boilerplate and a suite of tools for various AI applications, including text-to-image and Large Language Models (LLMs). The platform aims to accelerate the development, production, and monetization of AI applications by offering pre-configured training scripts, efficient data loading, optimized infrastructure, and one-click deployment solutions.
Stakly.dev is an AI-powered full-stack app builder that lets users design, code, and deploy web applications without writing manual boilerplate. You describe the app idea in plain language, set up data models, pages, and UI components through an intuitive interface, and Stakly generates production-ready code (including React front-end, Supabase or equivalent backend) and handles deployment to platforms like Vercel or Netlify. It offers a monthly free token allotment so you can experiment, supports live previews so you can see your app as you build, integrates with GitHub for code versioning, and is functional enough to build dashboards, SaaS tools, admin panels, and e-commerce sites. While not replacing full engineering teams for deeply custom or extremely large scale systems, Stakly lowers the technical barrier significantly: non-technical founders, product managers, solo makers, or small agencies can use Stakly to create usable, polished apps in minutes instead of weeks.
Stakly.dev is an AI-powered full-stack app builder that lets users design, code, and deploy web applications without writing manual boilerplate. You describe the app idea in plain language, set up data models, pages, and UI components through an intuitive interface, and Stakly generates production-ready code (including React front-end, Supabase or equivalent backend) and handles deployment to platforms like Vercel or Netlify. It offers a monthly free token allotment so you can experiment, supports live previews so you can see your app as you build, integrates with GitHub for code versioning, and is functional enough to build dashboards, SaaS tools, admin panels, and e-commerce sites. While not replacing full engineering teams for deeply custom or extremely large scale systems, Stakly lowers the technical barrier significantly: non-technical founders, product managers, solo makers, or small agencies can use Stakly to create usable, polished apps in minutes instead of weeks.
Stakly.dev is an AI-powered full-stack app builder that lets users design, code, and deploy web applications without writing manual boilerplate. You describe the app idea in plain language, set up data models, pages, and UI components through an intuitive interface, and Stakly generates production-ready code (including React front-end, Supabase or equivalent backend) and handles deployment to platforms like Vercel or Netlify. It offers a monthly free token allotment so you can experiment, supports live previews so you can see your app as you build, integrates with GitHub for code versioning, and is functional enough to build dashboards, SaaS tools, admin panels, and e-commerce sites. While not replacing full engineering teams for deeply custom or extremely large scale systems, Stakly lowers the technical barrier significantly: non-technical founders, product managers, solo makers, or small agencies can use Stakly to create usable, polished apps in minutes instead of weeks.
Replicate is a platform that makes it easy to run and deploy machine learning models. It provides a simple API and user-friendly interface for developers and researchers to access and utilize a wide range of pre-trained models, or host their own. This allows for seamless integration of powerful AI capabilities into various applications without the need for extensive machine learning expertise.
Replicate is a platform that makes it easy to run and deploy machine learning models. It provides a simple API and user-friendly interface for developers and researchers to access and utilize a wide range of pre-trained models, or host their own. This allows for seamless integration of powerful AI capabilities into various applications without the need for extensive machine learning expertise.
Replicate is a platform that makes it easy to run and deploy machine learning models. It provides a simple API and user-friendly interface for developers and researchers to access and utilize a wide range of pre-trained models, or host their own. This allows for seamless integration of powerful AI capabilities into various applications without the need for extensive machine learning expertise.
Sim.AI is a cloud-native platform designed to streamline the development and deployment of AI agents. It offers a user-friendly, open-source environment that allows developers to create, connect, and automate workflows effortlessly. With seamless integrations and no-code setup, Sim.AI empowers teams to enhance productivity and innovation.
Sim.AI is a cloud-native platform designed to streamline the development and deployment of AI agents. It offers a user-friendly, open-source environment that allows developers to create, connect, and automate workflows effortlessly. With seamless integrations and no-code setup, Sim.AI empowers teams to enhance productivity and innovation.
Sim.AI is a cloud-native platform designed to streamline the development and deployment of AI agents. It offers a user-friendly, open-source environment that allows developers to create, connect, and automate workflows effortlessly. With seamless integrations and no-code setup, Sim.AI empowers teams to enhance productivity and innovation.
Aisera is an AI-driven platform designed to transform enterprise service experiences through the integration of generative AI and advanced automation. It leverages Large Language Models (LLMs) and domain-specific AI capabilities to deliver proactive, personalized, and predictive solutions across various business functions such as IT, customer service, HR, and more.
Aisera is an AI-driven platform designed to transform enterprise service experiences through the integration of generative AI and advanced automation. It leverages Large Language Models (LLMs) and domain-specific AI capabilities to deliver proactive, personalized, and predictive solutions across various business functions such as IT, customer service, HR, and more.
Aisera is an AI-driven platform designed to transform enterprise service experiences through the integration of generative AI and advanced automation. It leverages Large Language Models (LLMs) and domain-specific AI capabilities to deliver proactive, personalized, and predictive solutions across various business functions such as IT, customer service, HR, and more.
LMArena is an open, crowdsourced platform for evaluating large language models (LLMs) based on human preferences. Rather than relying purely on automated benchmarks, it presents paired responses from different models to users, who vote for which is better. These votes build live leaderboards, revealing which models perform best in real-use scenarios. Key features include prompt-to-leaderboard comparison, transparent evaluation methods, style control for how responses are formatted, and auditability of feedback data. The platform is particularly valuable for researchers, developers, and AI labs that want to understand how their models compare when judged by real people, not just metrics.
LMArena is an open, crowdsourced platform for evaluating large language models (LLMs) based on human preferences. Rather than relying purely on automated benchmarks, it presents paired responses from different models to users, who vote for which is better. These votes build live leaderboards, revealing which models perform best in real-use scenarios. Key features include prompt-to-leaderboard comparison, transparent evaluation methods, style control for how responses are formatted, and auditability of feedback data. The platform is particularly valuable for researchers, developers, and AI labs that want to understand how their models compare when judged by real people, not just metrics.
LMArena is an open, crowdsourced platform for evaluating large language models (LLMs) based on human preferences. Rather than relying purely on automated benchmarks, it presents paired responses from different models to users, who vote for which is better. These votes build live leaderboards, revealing which models perform best in real-use scenarios. Key features include prompt-to-leaderboard comparison, transparent evaluation methods, style control for how responses are formatted, and auditability of feedback data. The platform is particularly valuable for researchers, developers, and AI labs that want to understand how their models compare when judged by real people, not just metrics.
Inception Labs is an AI research company that develops Mercury, the world's first commercial diffusion-based large language models. Unlike traditional autoregressive LLMs that generate tokens sequentially, Mercury models use diffusion architecture to generate text through parallel refinement passes. This breakthrough approach enables ultra-fast inference speeds of over 1,000 tokens per second while maintaining frontier-level quality. The platform offers Mercury for general-purpose tasks and Mercury Coder for development workflows, both featuring streaming capabilities, tool use, structured output, and 128K context windows. These models serve as drop-in replacements for traditional LLMs through OpenAI-compatible APIs and are available across major cloud providers including AWS Bedrock, Azure Foundry, and various AI platforms for enterprise deployment.
Inception Labs is an AI research company that develops Mercury, the world's first commercial diffusion-based large language models. Unlike traditional autoregressive LLMs that generate tokens sequentially, Mercury models use diffusion architecture to generate text through parallel refinement passes. This breakthrough approach enables ultra-fast inference speeds of over 1,000 tokens per second while maintaining frontier-level quality. The platform offers Mercury for general-purpose tasks and Mercury Coder for development workflows, both featuring streaming capabilities, tool use, structured output, and 128K context windows. These models serve as drop-in replacements for traditional LLMs through OpenAI-compatible APIs and are available across major cloud providers including AWS Bedrock, Azure Foundry, and various AI platforms for enterprise deployment.
Inception Labs is an AI research company that develops Mercury, the world's first commercial diffusion-based large language models. Unlike traditional autoregressive LLMs that generate tokens sequentially, Mercury models use diffusion architecture to generate text through parallel refinement passes. This breakthrough approach enables ultra-fast inference speeds of over 1,000 tokens per second while maintaining frontier-level quality. The platform offers Mercury for general-purpose tasks and Mercury Coder for development workflows, both featuring streaming capabilities, tool use, structured output, and 128K context windows. These models serve as drop-in replacements for traditional LLMs through OpenAI-compatible APIs and are available across major cloud providers including AWS Bedrock, Azure Foundry, and various AI platforms for enterprise deployment.
Taskade is a real-time AI workspace that turns a single prompt into a live, collaborative app connected to projects, documents, and data. It blends outlines, boards, docs, mind maps, and chats with multi-agent AI to plan, generate, and execute work in one place. Teams can spin up custom workflows, databases, and automations on the fly, with the workspace acting as the backend for instant apps. Structured tasks, roles, and permissions keep projects organized while AI agents draft content, create sprints, and run checklists. The result is an adaptive work OS that moves from idea to executable workflow in minutes without switching tools.
Taskade is a real-time AI workspace that turns a single prompt into a live, collaborative app connected to projects, documents, and data. It blends outlines, boards, docs, mind maps, and chats with multi-agent AI to plan, generate, and execute work in one place. Teams can spin up custom workflows, databases, and automations on the fly, with the workspace acting as the backend for instant apps. Structured tasks, roles, and permissions keep projects organized while AI agents draft content, create sprints, and run checklists. The result is an adaptive work OS that moves from idea to executable workflow in minutes without switching tools.
Taskade is a real-time AI workspace that turns a single prompt into a live, collaborative app connected to projects, documents, and data. It blends outlines, boards, docs, mind maps, and chats with multi-agent AI to plan, generate, and execute work in one place. Teams can spin up custom workflows, databases, and automations on the fly, with the workspace acting as the backend for instant apps. Structured tasks, roles, and permissions keep projects organized while AI agents draft content, create sprints, and run checklists. The result is an adaptive work OS that moves from idea to executable workflow in minutes without switching tools.
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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